ECGR 2254: Analytical Foundations of Electrical and Computer Engineering
University of North Carolina, Charlotte
Use of MATLAB for numeric simulation analysis, complex numbers, real and complex functions, signal representation, functional approximation by curve fitting, introduction to functions of a discrete variable, linear differential equations, Laplace transforms used for solving linear differential equations, Fourier series and Fourier transforms and their use in solving electrical and computer engineering problems.
Average GPA: 2.56
Grade distribution records: 1,117 students across 18 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 256 | 22.9% |
| B | 307 | 27.5% |
| C | 219 | 19.6% |
| D | 86 | 7.7% |
| F | 96 | 8.6% |
| W | 23 | 2.1% |
Based on 1,117 student grade records across 18 terms and 3 professors.
Instructors
- Yawo Amengonu 742 students, Average GPA 2.55
- Robert Cox 313 students, Average GPA 2.53
- Andrew Willis 62 students, Average GPA 3.26